Investigation of megavoltage local tomography for detecting setup errors in radiation therapy

Daxin Shi; Mark A. Anastasio; Xiaochuan Pan; Charles A. Pelizzari; Peter Munro

doi:10.1117/12.480348

30 May 2003 Investigation of megavoltage local tomography for detecting setup errors in radiation therapy

Daxin Shi, Mark A. Anastasio, Xiaochuan Pan, Charles A. Pelizzari, Peter Munro

Author Affiliations +

Proceedings Volume 5029, Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display; (2003) https://doi.org/10.1117/12.480348
Event: Medical Imaging 2003, 2003, San Diego, California, United States

Abstract

We investigate the problem of reconstructing a 3D image of a tumor volume from a set of truncated MV cone-beam projections. Our proposed approach is distinct from previously investigated approaches in that it utilizes a local tomography reconstruction algorithm. Using simulated and experimental MV projection data, we demonstrate that a local cone-beam tomography algorithm can reconstruct accurate images that contain information regarding boundaries and edges inside a localized region of interest. We also demonstrate that the conventional Feldkamp-Davis-Kress cone-beam reconstruction algorithm is not well-suited for reconstructing images of low-contrast structures from truncated cone-beam projections.

Citation Download Citation

Daxin Shi, Mark A. Anastasio, Xiaochuan Pan, Charles A. Pelizzari, and Peter Munro "Investigation of megavoltage local tomography for detecting setup errors in radiation therapy", Proc. SPIE 5029, Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display, (30 May 2003); https://doi.org/10.1117/12.480348

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE